Abstract
In few years of development Social Media has been one of the remarkable innovations, which have made communication a lot easier and accessible to all. But, it has some drawbacks associated with it as every other useful appliance has. Cyberbullying is one of its major drawbacks in which a group or individuals are embarrassed or harassed with messages from people. To deal with it, this research firstly surveys the state of social media networks. Then, a system is proposed where cyberbullying will be controlled also there is a knowledge intelligence to gather information about trollers and report them accordingly. The system uses JavaScript and deep learning technology to detect abusive texts and images. This paper proposes the simplest and new technology to spot social media abuse which will help in solving all the cyberbullying issues of all age groups.
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Jadhav, Y.A., Jain, S.J., More, B.S., Jadhav, M.S., Chaudhari, B. (2021). Cyber Safety Against Social Media Abusing. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham. https://doi.org/10.1007/978-3-030-81462-5_12
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DOI: https://doi.org/10.1007/978-3-030-81462-5_12
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